Source record

Recognizing surgical phases in laparoscopic video

論文論文

この言語の本文は未訳のため、英語で表示しています。

The source is Twinanda and colleagues, arXiv:1602.03012, posted 9 February 2016. It introduces EndoNet, a research network for phase and instrument recognition on laparoscopic cholecystectomy video, demonstrated on the public Cholec80 collection. The paper is about whether a model can tell where a case is in its sequence. This index does not restate the research metrics as clinical outcomes and does not treat the work as a cleared intraoperative product.

Source date: 2016年2月9日 · 年 2016
Evidence label: 論文
Source type: 論文

Citation

Twinanda et al., arXiv:1602.03012

Twinanda et al. EndoNet: a deep architecture for recognition tasks on laparoscopic videos. arXiv:1602.03012, 9 February 2016. https://arxiv.org/abs/1602.03012

Key public facts

EndoNet is a research network for phase and tool recognition in laparoscopic cholecystectomy video.
The demonstration collection is the public Cholec80 set.
The linked source is the arXiv preprint dated 9 February 2016.
The paper reports recognition performance. Those figures are not restated here as clinical outcomes.
The entry is not a live operating-room advisory and not a cleared device.

Original link

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Back to the case

教育と市場把握のための条目。医療助言でも推奨でもありません。